Abstract: Disclosed is a method and an apparatus NER-orientated Chinese clinical text data augmentation, and unannotated data and annotated data of label linearization processing through data preprocessing. A concealed part is predicted based on retained information by using the unannotated data and concealing part of information in text, and meanwhile an entity word-level discrimination task is introduced for pre-training of a span-based language model; and a plurality of decoding mechanisms are introduced in a fine-tune stage, a relationship between a text vector and text data is obtained based on the pre-trained span-based language model, linearized data with entity labels is converted into the text vector, and text generation is performed through forward decoding and reverse decoding in a prediction stage of a text generation model to obtain enhanced data with annotation information.

Abstract: A kind of method and system for preventing rear end collision of vehicles are intended to apply to the vehicles equipped with the electric fuel injection system. By using a fuel-decreasing pre-warning electric control unit standing for PW-ECU, the throttle value D of the engine can be obtained through sampling from the throttle sensor 1 of the electric fuel injection system in real time. Do time differential operation to the throttle value D to get the throttle speed value Rt, then comparing the throttle speed value Rt with a preset fuel-decreasing pre-warning value Rp. If Rt equal to or exceed the preset value Rp when the engine decreases the fuel, the pre-warning devices 7 driven by PW-ECU will send out the pre-warning signals to the following vehicles. Therefore we can realize preventing rear end collision of the vehicles by the fuel-decreasing pre-warning method. At same time we provide a system for preventing rear end collision of the vehicles by the fuel-decreasing pre-warning method.